— Door 04 · Capacity, honestly shown
One designer. A content team's throughput.
The honest pitch: AI handles the routine half — first-draft rewrites, readability scoring, metadata, link and consistency checks, content variants — so the human half (plain-language judgement, accessibility decisions, accuracy, public trust) gets all of me. The panel below is an illustrative concept, not live data.
- Draft a first-pass plain-language rewritedrafted
- Score readability & flag jargonscored
- Generate metadata & descriptive linkstagged
- Check consistency against the style guidechecked
- Produce content variants to testdrafted
- Does this actually read plainly?human
- Is it accurate & legally correct?with SMEs
- Accessibility & inclusion decisionshuman + a11y team
- Does it serve the whole user journey?human
- Sign-off & public trusthuman
Workstream
Page → platform
audit → model → uplift
Reading level
Grade 17→6
demonstrated in Door 02
Content types
Reusable
fix the pattern, not the page
Unverified claims
0
the only acceptable number
AI content feed · illustrative
"This page reads at Grade 15 — I've drafted a Grade-6 rewrite and flagged the three jargon terms for your call on a plain-language alternative."
"Two sentences in the rewrite touch on eligibility rules — flagged for SME confirmation and held out of publish until verified."
"This page fits the 'task' component — I've restructured it into eligibility → steps → what's next, ready for your edit and the judgement only you can add."
How the engagement runs
A line I won't blur
AI accelerates content production. It never decides what's true, it never overrides accessibility, and it never substitutes for plain-language judgement. Every public-facing sentence — every eligibility rule, every legal claim — is verified by a human (me) in a tight loop with subject-matter experts and the accessibility team. This dashboard is a concept to show the workflow, not a live system.